Traffic signal lamp adjusting method for relieving traffic jam

Abstract

The invention discloses a traffic light adjusting method for relieving traffic jam, which relates to the field of traffic and comprises the following steps: acquiring real-time traffic data at each intersection; analyzing the obtained real-time traffic data of the intersection, judging the traffic state of the corresponding intersection, and determining the priority of the lane at the corresponding intersection according to the traffic state of the corresponding intersection; adjusting the traffic signal lamp according to the determined priority of the lane at the intersection; a data acquisition terminal group acquires traffic data, calculates traffic flow density and traffic flow velocity, acquires congestion indexes of lanes according to the traffic flow density and the traffic flow velocity, divides the lanes into three grades, determines priorities of the lanes according to the grades of the lanes and the congestion indexes of the lanes, and sends the traffic data to a traffic management server. And the green light time of each lane is allocated according to the priority of the lane, so that the traffic jam is quickly relieved, and the urban operation efficiency is improved.

Description

Technical Field

[0001] The invention relates to the field of traffic, and in particular to a traffic signal light adjustment method for alleviating traffic congestion. Background Art

[0002] With the development of society and the improvement of people's living standards, urban traffic flow continues to increase, and traffic congestion has become a problem that seriously affects urban operation efficiency and residents' lives. Therefore, obtaining traffic information, judging the state of traffic congestion, adjusting traffic lights, and quickly relieving traffic congestion have important theoretical and practical significance for improving urban operation efficiency. How to quickly relieve traffic congestion by adjusting traffic lights according to the traffic congestion status is a problem we need to solve. To this end, a traffic light adjustment method for relieving traffic congestion is now provided. Summary of the invention

[0003] The object of the present invention is to provide a traffic signal light adjustment method for alleviating traffic congestion.

[0004] The purpose of the present invention can be achieved by the following technical solution: A traffic signal light adjustment method for alleviating traffic congestion, comprising the following steps: Step S1: Obtain real-time traffic data at each intersection; Step S2: analyzing the acquired real-time traffic data of the intersection, determining the traffic status of the corresponding intersection, and determining the priority of the lane at the corresponding intersection according to the traffic status of the corresponding intersection; Step S3: adjusting the traffic lights according to the determined priorities of the lanes at the intersection.

[0005] Furthermore, the process of obtaining real-time traffic data at each intersection includes: A data collection terminal group is set at the intersection, and traffic data at the corresponding intersection is obtained in real time through the set data collection terminal group, wherein the traffic data includes vehicle flow, vehicle information and lane information; The vehicle information includes vehicle speed, vehicle quantity and license plate number. It is determined whether there is an emergency vehicle at the corresponding intersection based on the obtained vehicle information. The emergency vehicles include ambulances, fire trucks and police cars.

[0006] Furthermore, the process of determining whether there is an emergency vehicle at the intersection includes: The video image of the intersection is obtained by a video acquisition terminal in a data acquisition terminal group installed at the intersection, and the vehicle information in the video image is identified. The video acquisition terminal stores the license plate number of the emergency vehicle. The license plate number of the identified vehicle is compared with the license plate number of the emergency vehicle stored in the video acquisition terminal. When the comparison results are consistent, the vehicle is judged to be an emergency vehicle. When the vehicle is an emergency vehicle, it is judged whether the emergency vehicle is performing a mission; Identify whether the police sign lamp above the emergency vehicle in the video image is turned on. If the police sign lamp above the emergency vehicle is turned on, it is determined that the emergency vehicle is performing a mission.

[0007] Furthermore, the process of analyzing the acquired real-time traffic data of the intersection includes: The lanes at the intersection are numbered, a monitoring section is set for each lane, the length of the monitoring section is recorded as D, the monitoring section is divided into several road sections of equal length, the length of the road section is recorded as d, a fixed observation time is set, recorded as t, the observation time is divided into several continuous and equal time periods, for each road section and each time period, the number of vehicles passing through the road section is counted, the number of vehicles passing through a road section in a time period is defined as the traffic density, the traffic density of each road section is calculated, the average speed of vehicles passing through the road section is defined as the traffic flow speed, the traffic flow speed of each road section is calculated, the average traffic density and average traffic flow speed of the road section on each lane are calculated, and the average traffic density and average traffic flow speed of the road section are used as the traffic density and traffic flow speed of the lane; Determine whether the lane is in a congested state according to the traffic density and traffic flow speed of the lane, and when the lane is in a congested state, determine the congestion degree of the lane, which is divided into light congestion, moderate congestion and heavy congestion; The lanes are divided into first level, second level and third level according to their width. The wider the lane is, the higher the level of the lane is. The priority of the lane is determined according to the level of the lane and the congestion level of the lane.

[0008] Furthermore, the process of determining whether the lane is in a congested state includes: The lane congestion coefficient is obtained based on the lane traffic density and traffic flow speed, and the lane congestion coefficient is recorded as YD j ; A threshold of the lane congestion coefficient is set, denoted as Y0, and whether the lane is in a congested state is determined according to the obtained lane congestion coefficient and the set lane congestion coefficient threshold; When YD j When ≥Y0, the lane is not in a congested state; When YD j When <Y0, the lane is in a congested state.

[0009] Furthermore, the process of determining the congestion level of a lane includes: By analyzing historical traffic data, the benchmark traffic density and benchmark traffic speed under normal conditions are obtained, and the congestion index is set according to the current traffic density and traffic speed as well as the benchmark traffic density and benchmark traffic speed; Set the threshold range of the congestion index, denoted as (F 1 , F 2 ), calculate the congestion index of the lane in the congested state, when the congestion index of the lane in the congested state is less than or equal to F 1 When the congestion index of the lane in the congested state is greater than F 1 Less than F 2 When the congestion index of the lane in the congested state is greater than or equal to F 2 , the congestion level of this lane is determined to be severe congestion.

[0010] Furthermore, the process of determining lane priority includes: The lane level and the lane congestion level are assigned corresponding weights. The higher the lane level, the higher its weight. The weight of the lane belonging to the third level is higher than that of the lane belonging to the second level, which is higher than that of the lane belonging to the first level. The higher the lane congestion level, the higher its weight. The weight of a heavily congested lane is higher than that of a moderately congested lane, which is higher than that of a lightly congested lane. The weight of an uncongested lane is zero. The weight of a lane belonging to the third level is equal to that of a heavily congested lane, the weight of a lane belonging to the second level is equal to that of a moderately congested lane, and the weight of a lane belonging to the first level is equal to that of a lightly congested lane. The priority of a lane is obtained by adding the weight of the lane's grade to the weight of the lane's congestion index. When the total weights of two lanes are the same, the priority of the lane is determined according to the weight of the lane's congestion degree. The priority of a lane with a large congestion degree weight is higher than the priority of a lane with a small congestion degree weight. The weight of a lane belonging to the first grade and in a moderate congestion state is higher than the weight of a lane belonging to the first grade and in a light congestion state. Therefore, the priority of a lane belonging to the first grade and in a moderate congestion state is higher than the priority of a lane belonging to the first grade and in a light congestion state. The weight of the lane belonging to the third level and in a non-congested state is equal to the weight of the lane belonging to the second level and in a lightly congested state. The congestion index of the lane belonging to the third level and in a non-congested state is lower than the congestion index of the lane belonging to the second level and in a lightly congested state. Therefore, the priority of the lane belonging to the third level and in a non-congested state is lower than the priority of the lane belonging to the second level and in a lightly congested state. When the levels and congestion levels of two lanes are the same, the two lanes have the same priority.

[0011] Furthermore, according to the determined lane priorities at the intersection, the process of adjusting the traffic light includes: The total green light time is recorded as T, and T is allocated to each lane in proportion according to the weight of the lane level and the congestion degree of the lane; When there is an emergency vehicle in the lane and the emergency vehicle is performing a task, the green light time of the uncongested lane is allocated to the lane with the emergency vehicle. When every lane is congested, the priority of the lane where there is an emergency vehicle and the emergency vehicle is performing a task is increased.

[0012] Compared with the prior art, the beneficial effects of the present invention are as follows: traffic data is collected through a data collection terminal group, whether there is an emergency vehicle and whether the emergency vehicle is performing a task is determined according to the traffic data collected by the data collection terminal group, vehicle flow density and traffic flow speed are calculated, congestion indicators are obtained according to the vehicle flow density and traffic flow speed, the congestion status of the lane is obtained according to the congestion indicator, the congestion degree of the lane is determined according to the congestion status, the lane is divided into three levels according to the width of the lane, the priority of the lane is determined according to the level of the lane and the congestion index of the lane, the green light time of each lane is allocated according to the priority of the lane, and when there is an emergency vehicle in the lane and the emergency vehicle is performing a task, the green light time of the non-congested lane is allocated to the lane with the emergency vehicle, thereby quickly alleviating traffic congestion and improving urban operation efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0013] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in the present invention. For ordinary technicians in this field, other drawings can also be obtained based on these drawings.

[0014] Figure 1 It is a schematic diagram of the present invention. DETAILED DESCRIPTION

[0015] like Figure 1 As shown, a traffic signal light adjustment method for alleviating traffic congestion includes the following steps: Step S1: Obtain real-time traffic data at each intersection; Step S2: analyzing the acquired real-time traffic data of the intersection, determining the traffic status of the corresponding intersection, and determining the priority of the lane at the corresponding intersection according to the traffic status of the corresponding intersection; Step S3: adjusting the traffic lights according to the determined lane priorities at the intersection; It should be further explained that, in the specific implementation process, the process of obtaining real-time traffic data at each intersection includes: A data collection terminal group is set at the intersection, and traffic data at the corresponding intersection is obtained in real time through the set data collection terminal group, wherein the traffic data includes vehicle flow, vehicle information and lane information; The vehicle information includes vehicle speed, vehicle quantity and license plate number. It is determined whether there is an emergency vehicle at the corresponding intersection based on the obtained vehicle information. The emergency vehicles include ambulances, fire trucks and police cars.

[0016] It should be further explained that, in the specific implementation process, the process of determining whether there is an emergency vehicle at an intersection includes: The video image of the intersection is obtained by a video acquisition terminal in a data acquisition terminal group installed at the intersection, and the vehicle information in the video image is identified. The video acquisition terminal stores the license plate number of the emergency vehicle. The license plate number of the identified vehicle is compared with the license plate number of the emergency vehicle stored in the video acquisition terminal. When the comparison results are consistent, the vehicle is judged to be an emergency vehicle. When the vehicle is an emergency vehicle, it is judged whether the emergency vehicle is performing a mission; Identify whether the police sign lamp above the emergency vehicle in the video image is turned on. If the police sign lamp above the emergency vehicle is turned on, it is determined that the emergency vehicle is performing a mission.

[0017] It should be further explained that, in the specific implementation process, the process of analyzing the obtained real-time traffic data of the intersection includes: The lanes at the intersection are numbered as j, j = 1, 2, ..., n, n ≥ 2, and n is an integer. A monitoring section is set for each lane, and the length of the monitoring section is recorded as D. The monitoring section is divided into several road segments of equal length, and the length of the road segment is recorded as d. A fixed observation time is set, recorded as t, and the observation time is divided into several continuous and equal time periods. For each road segment and each time period, the number of vehicles passing through the road segment is counted. The number of vehicles passing through a road segment in a time period is defined as the traffic density. The traffic density of each road segment is calculated. The traffic density is calculated using the following formula: Traffic density = number of passing vehicles / length of road section; The average speed of vehicles passing through the road segment is defined as the traffic flow speed. The traffic flow speed of each road segment is calculated using the following formula: Traffic flow speed = road segment length / passing time; Calculate the average traffic density and average traffic flow speed of each lane on the road section, denoted as L j With T j , the average traffic density and average traffic flow speed of the road section are taken as the traffic density and traffic flow speed of the lane; Determine whether a lane is in a congested state based on the lane's traffic density and traffic flow speed; It should be further explained that, in the specific implementation process, the process of determining whether a lane is in a congested state includes: The lane congestion coefficient is obtained based on the lane traffic density and traffic flow speed, and the lane congestion coefficient is recorded as YD j ; in, ; A threshold of the lane congestion coefficient is set, denoted as Y0, and whether the lane is in a congested state is determined according to the obtained lane congestion coefficient and the set lane congestion coefficient threshold; When YD j When ≥Y0, the lane is not in a congested state; When YD j When <Y0, the lane is in a congested state; When the lane is in a congested state, determining the congestion degree of the lane, wherein the congestion degree is divided into light congestion, moderate congestion, and heavy congestion; It should be further explained that, in the specific implementation process, the process of determining the congestion level of the lane includes: The benchmark traffic density and traffic speed under normal conditions are obtained by analyzing historical traffic data. The congestion index is set according to the current traffic density and traffic speed as well as the benchmark traffic density and traffic speed. The congestion index is calculated by the following formula: Congestion index = benchmark traffic density / current traffic density + benchmark traffic speed / current traffic speed; Set the threshold range of the congestion index, denoted as (F 1 , F 2 ), calculate the congestion index of the lane in the congested state, when the congestion index of the lane in the congested state is less than or equal to F 1 When the congestion index of the lane in the congested state is greater than F 1 Less than F 2 When the congestion index of the lane in the congested state is greater than or equal to F 2 When , the congestion level of this lane is determined to be severe congestion; According to the width of the lane, the lane is divided into the first level, the second level and the third level. The wider the lane is, the higher the level of the lane is. The priority of the lane is determined according to the level of the lane and the congestion level of the lane. It should be further explained that, in the specific implementation process, the process of determining lane priority includes: The lane level and the lane congestion level are assigned corresponding weights. The higher the lane level, the higher its weight. The weight of the lane belonging to the third level is higher than that of the lane belonging to the second level, which is higher than that of the lane belonging to the first level. The higher the lane congestion level, the higher its weight. The weight of a heavily congested lane is higher than that of a moderately congested lane, which is higher than that of a lightly congested lane. The weight of an uncongested lane is zero. The weight of a lane belonging to the third level is equal to that of a heavily congested lane, the weight of a lane belonging to the second level is equal to that of a moderately congested lane, and the weight of a lane belonging to the first level is equal to that of a lightly congested lane. The priority of a lane is obtained by adding the weight of the lane's grade to the weight of the lane's congestion index. When the total weights of two lanes are the same, the priority of the lane is determined according to the weight of the lane's congestion degree. The priority of a lane with a large congestion degree weight is higher than the priority of a lane with a small congestion degree weight. The weight of a lane belonging to the first grade and in a moderate congestion state is higher than the weight of a lane belonging to the first grade and in a light congestion state. Therefore, the priority of a lane belonging to the first grade and in a moderate congestion state is higher than the priority of a lane belonging to the first grade and in a light congestion state. The weight of the lane belonging to the third level and in a non-congested state is equal to the weight of the lane belonging to the second level and in a lightly congested state. The congestion index of the lane belonging to the third level and in a non-congested state is lower than the congestion index of the lane belonging to the second level and in a lightly congested state. Therefore, the priority of the lane belonging to the third level and in a non-congested state is lower than the priority of the lane belonging to the second level and in a lightly congested state. When the levels and congestion levels of two lanes are the same, the two lanes have the same priority.

[0018] It should be further explained that, in the specific implementation process, according to the determined lane priority at the intersection, the process of adjusting the traffic light includes: The green light time of each lane is allocated according to the lane priority. The higher the lane priority, the more green light time is allocated. The total green light time is recorded as T, and T is allocated to each lane in proportion according to the weight of the lane level and the congestion degree of the lane; When there are four lanes on a channel, the congestion degree of each lane is judged and the level of each lane is divided. The levels and congestion degrees of the four lanes are respectively the third level severe congestion, the third level moderate congestion, the first level moderate congestion and the second level mild congestion. The priority of the lane belonging to the third level and in a severe congestion state is higher than the priority of the lane belonging to the third level and in a moderate congestion state. The priority of the lane belonging to the first level and in a moderate congestion state is higher than the priority of the lane belonging to the second level and in a mild congestion state. The total green light time is T. The green light time is divided into seventeen parts according to the priority of the lane. The green light time allocated to the lane belonging to the third level and in a severe congestion state is six parts, the green light time allocated to the lane belonging to the third level and in a moderate congestion state is five parts, the green light time allocated to the lane belonging to the first level and in a moderate congestion state is four parts, and the green light time allocated to the lane belonging to the second level and in a mild congestion state is two parts. When there is an emergency vehicle in a lane and the emergency vehicle is performing a task, the green light time of the non-congested lane will be allocated to the lane with the emergency vehicle. When every lane is in a congested state, the priority of the lane where there is an emergency vehicle and the emergency vehicle is performing a task will be increased. When there is an emergency vehicle in a lane that belongs to the third level and is in a severely congested state, the green light time allocated to this lane is nine parts, the green light time allocated to the lane that belongs to the third level and is in a moderately congested state is four parts, the green light time allocated to the lane that belongs to the first level and is in a moderately congested state is three parts, and the green light time allocated to the lane that belongs to the second level and is in a lightly congested state is one part.

[0019] The above embodiments are only used to illustrate the technical method of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical method of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical method of the present invention.

Claims

1. A traffic signal light adjustment method for alleviating traffic congestion, characterized in that: The following steps are involved: Step S1: Obtain real-time traffic data at each intersection; Step S2: analyzing the acquired real-time traffic data of the intersection, determining the traffic status of the corresponding intersection, and determining the priority of the lane at the corresponding intersection according to the traffic status of the corresponding intersection; Step S3: adjusting the traffic lights according to the determined priorities of the lanes at the intersection.

2. A traffic signal light adjustment method for alleviating traffic congestion according to claim 1, characterized in that: The process of obtaining real-time traffic data at each intersection includes: A data collection terminal group is set at the intersection, and traffic data at the corresponding intersection is obtained in real time through the set data collection terminal group, wherein the traffic data includes vehicle flow, vehicle information and lane information; The vehicle information includes vehicle speed, vehicle quantity and license plate number, and it is determined whether there is an emergency vehicle at the corresponding intersection based on the obtained vehicle information.

3. A traffic signal light adjustment method for alleviating traffic congestion according to claim 2, characterized in that: The process of determining whether there is an emergency vehicle at an intersection includes: The video image of the intersection is acquired by a video acquisition terminal in a data acquisition terminal group installed at the intersection, and vehicle information in the video image is identified. It is determined whether there is an emergency vehicle at the intersection according to the identified vehicle information, and if there is an emergency vehicle, it is determined whether the emergency vehicle is performing a task; Identify whether the police sign lamp above the emergency vehicle in the video image is turned on. If the police sign lamp above the emergency vehicle is turned on, it is determined that the emergency vehicle is performing a mission.

4. A traffic signal light adjustment method for alleviating traffic congestion according to claim 2, characterized in that: The process of analyzing the acquired real-time traffic data of the intersection includes: The lanes at the intersection are numbered, a monitoring section is set for each lane, the length of the monitoring section is recorded as D, the monitoring section is divided into several road sections of equal length, the length of the road section is recorded as d, a fixed observation time is set, recorded as t, the observation time is divided into several continuous and equal time periods, for each road section and each time period, the number of vehicles passing through the road section is counted, the number of vehicles passing through a road section in a time period is defined as the traffic density, the traffic density of each road section is calculated, the average speed of vehicles passing through the road section is defined as the traffic flow speed, the traffic flow speed of each road section is calculated, the average traffic density and average traffic flow speed of the road section on each lane are calculated, and the average traffic density and average traffic flow speed of the road section are used as the traffic density and traffic flow speed of the lane; Determine whether the lane is in a congested state according to the traffic density and traffic flow speed of the lane, and when the lane is in a congested state, determine the congestion degree of the lane, which is divided into light congestion, moderate congestion and heavy congestion; The lanes are divided into first level, second level and third level according to their width. The wider the lane is, the higher the level of the lane is. The priority of the lane is determined according to the level of the lane and the congestion level of the lane.

5. A traffic signal light adjustment method for alleviating traffic congestion according to claim 4, characterized in that: The process of determining whether a lane is in a congested state includes: The lane congestion coefficient is obtained based on the lane traffic density and traffic flow speed, and the lane congestion coefficient is recorded as YD j ; A threshold of the lane congestion coefficient is set, denoted as Y0, and whether the lane is in a congested state is determined according to the obtained lane congestion coefficient and the set lane congestion coefficient threshold; When YD j When ≥Y0, the lane is not in a congested state; When YD j When <Y0, the lane is in a congested state.

6. A traffic signal light adjustment method for alleviating traffic congestion according to claim 4, characterized in that: The process of determining the congestion level of a lane includes: By analyzing historical traffic data, the benchmark traffic density and benchmark traffic speed under normal conditions are obtained, and the congestion index is set according to the current traffic density and traffic speed as well as the benchmark traffic density and benchmark traffic speed; Set the threshold range of the congestion index, denoted as (F1, F2), and calculate the congestion index of the lane in a congested state. When the congestion index of the lane in a congested state is less than or equal to F1, the congestion degree of this lane is determined to be light congestion. When the congestion index of the lane in a congested state is greater than F1 and less than F2, the congestion degree of this lane is determined to be moderate congestion. When the congestion index of the lane in a congested state is greater than or equal to F2, the congestion degree of this lane is determined to be heavy congestion.

7. A traffic signal light adjustment method for alleviating traffic congestion according to claim 4, characterized in that: The process of determining lane priority includes: The lane level and lane congestion level are assigned corresponding weights. The higher the lane level, the higher its weight. The higher the lane congestion level, the higher its weight. The weight of a non-congested lane is zero. The priority of a lane is obtained by adding the weight of the lane level to the weight of the lane congestion index. When the total weights of two lanes are the same, the priority of the lane is determined according to the weight of the lane congestion level. The priority of a lane with a larger congestion level weight is higher than the priority of a lane with a smaller congestion level weight.

8. The traffic signal light adjustment method for alleviating traffic congestion according to claim 4, characterized in that: Based on the determined lane priorities at the intersection, the process of adjusting the traffic lights includes: The total green light time is recorded as T, and T is allocated to each lane in proportion according to the weight of the lane level and the congestion degree of the lane; When there is an emergency vehicle in the lane and the emergency vehicle is performing a task, the green light time of the uncongested lane is allocated to the lane with the emergency vehicle. When every lane is congested, the priority of the lane where there is an emergency vehicle and the emergency vehicle is performing a task is increased.

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